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modernbert-Aegis-2.0-Wildguard-Content-Safety – AI Model by AllanK24 | AlphaNeural AI
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AllanK24
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modernbert-Aegis-2.0-Wildguard-Content-Safety
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peft
safetensors
modernbert
generated_from_trainer
answerdotai/ModernBERT-base
adapter
apache-2.0
us
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modernbert-Aegis-2.0-Wildguard-Content-Safety
This model is a fine-tuned version of
answerdotai/ModernBERT-base
on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 16
total_eval_batch_size: 4
optimizer: Use adamw_torch_fused with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1
Training results
Framework versions
PEFT 0.14.0
Transformers 4.50.3
Pytorch 2.6.0+cu126
Datasets 3.3.1
Tokenizers 0.21.0
